CLOUD CYBERSECURITY THREAT RECOGNITION AND DETECTION SYSTEM

Authors

  • Ariel Baloira Reyes Technological University of Havana José Antonio Echeverría

Abstract

Today, cybersecurity has become an obligation for every service provider. While there are groups of people-oriented to exploit services for malicious purposes, others develop tools and mechanisms to defend them. The present work is oriented to this last group. The uses of machine learning are dissimilar and varied. The capabilities of the algorithms used to allow their integration with the cybersecurity field. As a paradigm of the current context, cloud services have become the target of cyberattacks, but their potential can also be used to deal with them. Based on this, a cloud solution is offered to use machine learning in cybersecurity.

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Published

2022-12-09

How to Cite

Baloira Reyes, A. (2022). CLOUD CYBERSECURITY THREAT RECOGNITION AND DETECTION SYSTEM. Telemática, 21(1), 48–55. Retrieved from https://revistatelematica.cujae.edu.cu/index.php/tele/article/view/564

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